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Ideally you have an in-depth understanding of streaming data technologies like Amazon Kinesis or Apache Kafka, and experience with open-source data processing frameworks like Apache Spark, Apache Flink, or Apache Storm.
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More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow.
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Extensive, up-to-date knowledge and hands-on experience with machine learning and data engineering technologies (e.g., Kubernetes, Spark, Databricks, GPU). Expedia is seeking a Director of Machine Learning Science (MLS) to lead our team of scientists dedicated to our travel insurance business.
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The FBA team is looking for a passionate, curious, and creative Principal Research Scientist with expertise in operations research, machine learning or statistics, along with a proven record of solving business problems through scalable modeling and analytical skills.
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Good understanding of machine learning pipelines and machine learning frameworks such as TensorFlow and Pytorch. What you will do: Work in a cross-functional team of Machine Learning engineers and Machine Learning Science to design and code large scale batch and real-time ML pipelines.
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We are a growing subsidiary of a large public company that is hiring a talented Lead ML Engineer / Senior Machine Learning Engineer! 100% REMOTE Senior ML Engineer / Lead Machine Learning Engineer Needed for Growing Subsidiary of a Large Public Company.
$235,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Founded in 2013 by the original creators of Apache Spark, Databricks has grown from a tiny corner office in Berkeley, CA to a global organization with over 1500 employees. Customers trust Databricks with their most valuable data and Trust & Safety has the mission to build the most trusted data analytics and ML platform in the world.
$297,400Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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The AI for Science team has been focusing on tackling challenges in natural sciences, including biology, physics, and materials, with computational tools such as Machine Learning, Computational Chemistry, High-throughput Computation.
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Proficiency in machine learning algorithms such as logistic regression, random forest, gradient boosting trees, neural network, etc. We are looking for a Scientist that can drive the direction of technology across multiple teams, leverage deep industry knowledge and use statistical and machine learning techniques to bring value to customers.
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Data Architecture & Tools: modern cloud data platforms (Snowflake, Databricks, Big Query, RedShift), data analytics tools (Tableau, Looker, Power BI), data programming models (DataFrames, pandas), and AI (Python, R, Jupyter Notebooks, data wrangling, machine learning.
$217,200 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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F5, Inc. seeks Data Scientist II in Seattle, WA:Job Duties: Build machine learning algorithms and statistical models to detect traffic anomalies, L7 DDoS attacks and Web Application Firewall false positive detections.
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Proven experience with enterprise-scale technical delivery experience with AI Services including OpenAI, Schematic Kernel, AWS Bedrock, Machine Learning (or equivalent), Generative AI, LLM customization, NLP, Search, MLOps, Open-source AI frameworks, AI Infrastructure, architecture design.
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The Siri Information Intelligence Team at Apple is actively seeking a top-tier Senior Machine Learning Engineer to contribute to our bold mission of crafting the ultimate conversational experience within Siri. In this role, you'll have the great opportunity to harness powerful artificial intelligence technologies on premier platforms, ensuring that Apple's devices seamlessly integrate into users' everyday lives.
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Familiar with commonly used machine learning and deep learning algorithms, understand basic network model structure (DNN/LSTM/CNN, etc.) Experience in one of the following fields: machine learning, NLP, and computer vision.
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Employ Machine Learning and Artificial Intelligence to create best-in-class Fraud, Risk, and KYC products. Our Fraud Intelligence team is on the cutting edge of data science and machine learning technology that detects and prevents fraud on a global scale.
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